Applied AI/ML - Vice President
USD 150K-225K (estimate) Executive-level Full Time
Tasks
- Build NLP models
- Build batch prediction pipelines
- Build personalization models
- Build real time prediction pipelines
- Build recommendation systems
- Collaborate with business stakeholders
- Define problem statements
- Deploy ML solutions to production
- Design machine learning experiments
- Develop ML AutoML pipelines
- Develop data modeling experiments
- Develop machine learning models
- Evaluate model performance
- Integrate ML models with applications
- Lead AI/ML programs
- Operate model training and serving on AWS
- Orchestrate ML model workflows
- Productionize models with engineering teams
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
A/B | A/B Testing | AWS | AWS Glue | Active Learning | Amazon EC2 | Amazon SageMaker | Automl | B testing | Big Data | C++ | Classification | Continuous integration | Deep learning | Document Question Answering | Experiment design | Generative AI | Hugging Face | Information Retrieval | Java | JavaScript | LLM | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | NumPy | Pandas | Personalization | Prompt engineering | PyTorch | Python | Question Answering | Recommender Systems | Reinforcement Learning | Scikit-learn | TensorFlow | Transformers | Unit Testing
Education
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